Responsibilities:

• Lead the development of an internal GenAI application.
• Participate in the development of new features based on image generation and the integration of new RAGs.
• Work closely with business teams to optimize LLM performance by diversifying data sources (open source text, Google Drive, etc.).
• Be proactive about adding new features, including multimodal support, and contribute to scouting new technologies.
• Work in collaboration with Data Science teams.

Requirements & Skills:

• Minimum 10 years of experience, including at least 1 year on GenAI projects.
• Mastery of the Langchain framework, expertise in management and optimization of LLMs, and ability to work on connectors for information cutting.
• Ability to actively listen to business needs, and proven experience as a Product Manager in complex technical environments.
• Knowledge of open text sources and data management tools such as Google Drive.
• Fluent in French and English.

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Responsibilities:

• Content Creation and Curation: Utilize both artificial intelligence tools and traditional methods to generate and curate test items and exam content, ensuring alignment with best practices in assessment and educational standards. Engage in prompt engineering to design and refine AI prompts that yield high-quality, relevant content.
• Research and Development: Contribute to the research and design of AI applications specifically tailored for content development in high-stakes exams. Stay current with the latest advancements in AI and machine learning to identify potential applications within the content development lifecycle.
• Integration and Implementation: Integrate AI-generated content into existing item banks and exam forms, ensuring seamless compatibility and functionality. Work with cross-functional teams to implement AI solutions, providing training and support to ensure smooth adoption.
• Quality Assurance: Perform rigorous quality checks on both AI-generated and traditionally developed content to ensure it meets Pearson VUE’s standards for accuracy, validity, and style.
• Data Analysis and Feedback: Analyze performance data of both AI-generated and traditionally developed content to identify trends, strengths, and areas for improvement. Provide feedback to AI development teams based on statistical analysis and SME input to enhance AI algorithms.
• Training and Support: Train fellow content developers and SMEs on how to effectively use AI tools for content creation and review. Offer ongoing support and troubleshooting assistance for AI-related queries and issues.
• Collaboration and Communication: Collaborate effectively with members of testing services teams and other cross-functional Pearson teams, providing timely and complete input on reports, documentation, projects, teams, meetings, and process improvements.
• Confidentiality and Security: Understand intellectual property confidentiality and security considerations and abide by defined business practices to provide appropriate protection.

Requirements & Skills:

• Bachelor’s degree required, master’s degree preferred
• Experience as content or test developer, related coursework, or other direct applicable experience preferred
• Experience with generative AI, LLMs (Large Language Models), and prompt engineering preferred
• AI Literacy and Technical Proficiency: Demonstrate a solid understanding of artificial intelligence and its applications, particularly in content development and assessment. Show proficiency in using and evaluating AI content creation tools and software, with the ability to troubleshoot and optimize their use.
• Innovation and Adaptability: Embrace and champion innovative technologies and approaches, adapting quickly to new tools and methodologies in both AI-driven and traditional content development.
• Collaboration and Communication: Work effectively with AI specialists, developers, and product teams as a key stakeholder to integrate AI solutions into the content development process. Communicate information effectively to various stakeholders, including subject matter experts (SMEs), ensuring clarity and understanding.
• Content Development Expertise: Exhibit strong skills in traditional content development processes, including item writing, item bank management, and quality control, ensuring alignment with best practices in assessment and educational standards.
• Analytical Thinking: Apply strong analytical skills to evaluate both AI-generated and traditionally developed content, using statistical data and performance metrics to inform decisions and improvements.
• Continuous Improvement: Maintain a continuous learning orientation, staying current with the latest AI advancements and traditional content development techniques. Incorporate new knowledge into the content development workflow to drive ongoing improvement.
• Integrity and Attention to Detail: Demonstrate integrity in all tasks and maintain a high level of attention to detail to ensure accuracy and quality in both AI-generated and traditionally developed content.

The post Senior Content Developer (AI), Pearson appeared first on AI Jobs Latest.

Responsibilities:

• Join a team of highly technical Machine Learning Developers and Unity developers, with machine learning stakeholders across the company
• Deploy and help refine large language models at scale, leveraging modern parallel environments (such as distributed clusters, symmetric multiprocessor systems, SMPs, and GPUs).
• Ensure efficient and secure operation of the backend service by monitoring performance, updating features, and collaborating with teams to align with product goals
• Contribute to the design and architecture of state-of-the-art LLM systems, machine learning infrastructures, and agentic processes
• Evaluate the models’ performance and understanding of the Unity editor, C# coding, video game development, and their ability to perform actions

Requirements & Skills:

• Experience as a developer in machine learning, ML Ops, or similar roles
• Experience deploying and managing deep learning models in production at scale (deploying transformer-based architectures using frameworks such as vLLM, SGLang, and/or TensorRT)
• Hands-on experience with machine learning frameworks (PyTorch, TensorFlow, tiny grad), MLOps frameworks (Kubeflow, Vertex AI, W&B), cloud infrastructures (Azure, GCP, AWS), natural language processing or data science
• Experience with configuration management and infrastructure as code tools such as Terraform, as well as proficiency in containerization technologies (Docker, Kubernetes) and machine learning model orchestration
• Excellent communication and interpersonal skills, with an ability to collaborate across teams and contribute to the achievement of common goals

You may also have

• Experience in building AI applications using LLMs
• Experience with open-source LLM models (Mistral, Llama, etc.)
• Experience with Unity and programming with .NET/C#

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Responsibilities:

• Design, develop, and implement Gen AI solutions using Python, and open-source LLMs like LLAM3, Mistral, Phi, etc.
• Create vector embeddings for text and documents.
• Train and deploy AI models using LangChain or other RAG frameworks.
• Work with Ollama and integrate with open source LLMs

Requirements & Skills:

• 5+ years of professional experience in Python development, with a focus on AI and machine learning applications.
• Hands-on experience with RAG frameworks like LangChain, etc.
• Hands-on experience with open source LLMs like LLAM3, Mistral, Phi, etc.
• Sound software engineering experience in implementing Python-based frameworks.
• Experience in deploying applications with LangChain or other RAG frameworks.

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Responsibilities:

• Collaborate / Align technical and non-technical team members to translate customer needs into world-class solutions
• Play a key role in bridging technical and business aspects of AI projects, ensuring that the scopes are feasible, aligned with technical capabilities’ roadmap, market maturity, and targeted towards tangible business values
• Lead / Coach teams new to Agile / Scrum methodologies
• Collaborate with the business to prioritize and define Epics and User Stories
• Document User Stories and Acceptance criteria in Jira
• Identify / Manage / Mitigate risks to prevent issues
• Align / Ensure end-to-end solution success and readiness
• Work collaboratively to guide new teams through the forming, storming, and norming phases
• Provide / Accept continuous feedback in the spirit of continuous improvement
• Ensure Scrum ceremonies are collaborative, occur on time, and adhere to “best practice”
• Promote a healthy and sustainable work environment by using teams’ average velocity to properly size Sprints
• Coordinate cross-functionally to remove blockers and manage dependencies
• Continuously drive execution and accountability
• Monitor / Communicate solution status
• Determine what’s important and make solution decisions in the absence of clear guidelines or Product Owner Participation
• When needed, do “whatever it takes” to ensure success
• Coach junior PMs / SMs / BAs

Requirements & Skills:

• Bachelor’s degree
• GenAI/Machine Learning certification
• Scrum Master Certification
• PMP or other accredited Project Management certifications
• 4+ years of experience in Agile/Scrum
• 4+ years of JIRA/Confluence experience
• 4+ years of familiarity with cloud technologies (AWS, GCP, Azure)
• 1+ years of experience leading cross-functional teams to identify, scope, and build GenAI/Machine Learning solutions
• 1+ years of experience with Large Language Models (LLM)
• 2+ years coaching junior-level team members
• 2+ years of experience with financial/budget management and complex cost-benefit analysis
• 2+ years of experience prioritizing/managing a Portfolio of related projects
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available
• Bachelor’s degree in Computer Science or Engineering
• Excellent verbal/written communication skills
• Understanding of AI product management methodologies
• Agile Certifications (CSM; ACP; CSPO; SAFe; LeSS)
• Excellent organizational skills
• Attention to detail and follow-up
• Past development experience
• DevOps awareness
• Experience with HRM Systems – SAP, Oracle, SuccessFactors, Workday

The post GenAI/Machine Learning Project Manager, Deloitte appeared first on AI Jobs Latest.

Responsibilities:

• Design, build, evaluate, deploy and iterate on large scale Machine Learning systems
• Understand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experience
• Work with Product, Design, Infrastructure and Frontend teams to bring your models, and features to life
• Work with large scale data systems, and infrastructure
• Evaluate the performance of machine learning systems against business objectives, and productionize those models

Requirements & Skills:

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
• 5+ years of experience in engineering with 3+ years of experience building Machine Learning or AI systems
• Strong industry experience working with large-scale data
• Strong analytical and problem-solving skills
• Familiarity with search-related applications of Large Language Models
• Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++
• Experience with Machine Learning software tools and libraries (e.g., PyTorch, HuggingFace, TensorFlow, Keras, Scikit-learn, etc.)
• PhD in Computer Science or related field with research in machine learning
• Experience with one or more of the following: natural language processing, deep learning, bayesian reasoning, recommender systems, learning to rank, speech processing, learning from semistructured data, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation, machine learning on edge devices

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